Evaluation of Topic Modeling Methods in Chinese Medical Abstracts / 医学信息学杂志
Journal of Medical Informatics
;
(12): 60-64, 2018.
Artículo
en Chino
| WPRIM
| ID: wpr-700755
ABSTRACT
Taking abstracts of Chinese medical papers as corpus,the paper adopts the combination of 3 feature selection methods and 2 topic modeling methods to carry out topic modeling.The result shows that in the modeling methods,prediction ability and fitting degree of LDA are better than that of CTM,but in the feature selection methods,fitting degree of IDF and prediction ability of TF are better.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Tipo de estudio:
Estudio pronóstico
Idioma:
Chino
Revista:
Journal of Medical Informatics
Año:
2018
Tipo del documento:
Artículo
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